NVIDIA

NVIDIA

Posted via Workday

Developer Relations Manager, AI Platform and Tools - MLOps

Posted Aug 15, 2026

Role at a glance

Salary
$152K – $287.5K/yr
Location
2 Locations, California, United States
Work arrangement
On-site
Employment
Full-time
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Spotted an issue?

We’ll check it against the original posting.

Log in to report

Role Summary

AI-generated

The Developer Relations Manager will lead strategic engagement with North American AI platform and tools companies, particularly MLOps partners, to expand adoption of NVIDIA AI and accelerated computing platforms. The role guides partner product direction, integrations, technical enablement, and ecosystem strategy while channeling field feedback into NVIDIA product and engineering roadmaps.

What You'll Do

  • Serve as a trusted technical advisor to ISVs and startups building in the MLOps space.
  • Integrate NVIDIA software stack components, including libraries, SDKs, NIMs, and blueprints, into partner products and data pipelines.
  • Develop reference architectures, sample code, benchmarks, and workshop content for partner onboarding and co-innovation.
  • Guide best-practice integrations, resolve architectural challenges, and establish collaboration cadences with partner technical leaders.
  • Build and expand the ecosystem of AI platform and tools partners while tracking technology trends and adoption opportunities.
  • Collaborate with solution architects, engineering, product management, and account teams to strengthen partner engagement and adoption...

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience; 5+ years in the technology industry, including 3+ years of hands-on AI experience; deep enterprise MLOps knowledge; experience leading complex technical engagements; excellent communication and stakeholder management skills.

Required

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience
  • 5+ years of experience in the technology industry across software engineering, developer relations, technical partnerships, solutions...
  • 3+ years of hands-on experience in AI
  • Deep domain knowledge across the enterprise MLOps lifecycle, including inference serving platforms, scalable deployment, evaluation,...
  • Ability to lead complex, multi-stakeholder technical engagements, align cross-functional priorities, and drive execution across internal...
  • Excellent communication and stakeholder management skills

Preferred

  • Experience architecting, integrating, and scaling joint solutions with strategic ISVs or ecosystem partners
  • Deep familiarity with NVIDIA’s accelerated AI stack, including TensorRT-LLM, NeMo, Dynamo, NIM, RAPIDS, run.ai, CUDA-X libraries, and...
  • Experience partnering with early-stage or high-growth startups/ISVs in fast-paced, ambiguous environments
  • Track record of creating technical solutions, enablement assets, or ecosystem integrations from the ground up

Original job description

Content provided by the employer

We're hiring a Developer Relations Manager to lead strategic engagement within the horizontal AI platform and tools ecosystem in North America. In this role, you'll partner with companies working on MLOps to expand the use of NVIDIA's AI and accelerated computing platforms. We're looking for someone with deep technical depth in production AI systems to guide partner product direction, drive library integration, and support them building on NVIDIA technologies. If you're passionate about influencing the next wave of AI companies, we'd love to hear from you.

What You'll Be Doing:

  • Develop and maintain deep technical expertise in MLOps, serve as the trusted technical advisor for ISVs and startups building in that space.

  • Understand partner workloads and accelerate adoption by integrating the NVIDIA software stack including libraries, SDKs, NIMs, and blueprints, into partner products and data pipelines, delivering measurable performance and scalability improvements.

  • Drive partner onboarding and co-innovation through technical enablement assets such as reference architectures, sample code, benchmark, and workshop content that accelerate deployment of production-ready solutions.

  • Engage with partner technical leaders to guide best-practice integrations, solve complex architectural challenges, and establish structured collaboration cadences that surface emerging workflows and inform NVIDIA product and platform strategy.

  • Build and expand a strategic ecosystem of AI platform and tools partners, track ecosystem and technology trends, and identify opportunities to scale NVIDIA adoption and ecosystem growth.

  • Collaborate cross-functionally with solution architects, engineering, product management, and account teams to strengthen partner engagement and optimize adoption strategies.

  • Advocate for ecosystem technical requirements by channeling actionable feedback from field deployments into NVIDIA product and engineering roadmaps.

What We Need to See:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

  • 5+ years of experience in the technology industry across software engineering, developer relations, technical partnerships, solutions architecture, or product management, including 3+ years of hands-on experience in AI.

  • Deep domain knowledge across enterprise MLOps lifecycle, including inference serving platform, scalable deployment, eval, governance and observability pipeline.

  • Proven ability to lead complex, multi-stakeholder technical engagements, align cross-functional priorities, and drive execution across internal teams and external partners. Experience architecting, integrating, and scaling joint solutions with strategic ISVs or ecosystem partners is preferred.

  • Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both engineering and executive audiences.

Ways to Stand Out from the crowd:

  • Deep familiarity with NVIDIA’s accelerated AI stack, including TensorRT-LLM, NeMo, Dynamo, NIM, RAPIDS, run.ai, CUDA-X libraries, and related frameworks, with experience integrating them into production platforms.

  • Experience partnering with early-stage or high-growth startups/ISVs in fast-paced, ambiguous environments.

  • A strong builder mindset, with a track record of creating technical solutions, enablement assets, or ecosystem integrations from the ground up.

With competitive salaries and a generous benefits package, we are widely considered to be one of the world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 18, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.